Type:

full-time

Job Description:

Location:

Inglewood, CA | Four days onsite per week

Compensation:

$170,000-$200,000 annual compensation plus a discretionary bonus under $30,000

Employment:

Full-time About the Opportunity A premier entertainment organization is seeking a Manager, Data and ML Platform Engineer to build and operate the data and machine learning infrastructure behind intelligent fan experiences. Data and AI support ticket-demand forecasting, dynamic pricing, personalization, AI-powered customer interactions, marketing optimization, and venue operations. This is a hands-on individual-contributor position with no direct reports. The role combines senior full-stack data engineering and MLOps, owning the lifecycle from ingestion and transformation through feature engineering, model deployment, real-time inference, monitoring, and continuous improvement.

What You'll Do:

Design, build, and operate end-to-end data and ML systems supporting ticketing, marketing, customer experience, and operations. Build scalable batch and streaming pipelines that unify CRM, ticketing, behavioral, and operational data. Develop analytics- and ML-ready data models, schemas, transformations, tests, and monitoring. Create reusable feature pipelines and feature-store capabilities for forecasting, pricing, recommendations, and personalization. Deploy models through production APIs and low-latency inference services. Build CI/CD workflows for model testing, versioning, deployment, rollback, and lifecycle management. Monitor pipeline health, model performance, drift, data quality, latency, and reliability. Support experimentation, A/B testing, embeddings, vector search, retrieval pipelines, and AI applications. Partner with data scientists, analysts, marketing, ticketing, product, and business leaders to turn models into measurable outcomes. What You'll Need 4+ years of experience in data engineering, machine learning engineering, or MLOps. A proven record of building end-to-end data and ML systems in production. Strong Python and SQL skills. Experience building batch and streaming data pipelines using modern data-stack tools. Experience designing data models and schemas for analytics and machine learning. Experience with large structured and unstructured datasets. Experience deploying models through APIs or real-time inference systems. Experience building CI/CD for ML testing, versioning, and deployment. Experience with Docker, Kubernetes, or similar environments. Cloud experience in Azure, AWS, or GCP. Experience with Microsoft Fabric, Databricks, Snowflake, or a comparable platform. Experience supporting forecasting, personalization, recommendations, or operational analytics at scale. An AI-first mindset and the ability to own systems across the complete data and ML lifecycle. Benefits and Perks Medical coverage through Blue Shield and Kaiser, dental and vision plans, 401(k) with company contribution, Wellbeing Allowance up to $1,000 annually, self-directed vacation, paid parental leave, medical and dependent-care Flexible Spending Accounts, company-paid Long Term Disability, Life and AD&D insurance, voluntary family life-insurance options, Employee Assistance Program, Modern Health and Headspace support, Carrot fertility and family-planning assistance, among some other awesome perks! This position requires four days onsite each week in Inglewood. General core hours are 10:00 a.m.-5:00 p.m. with some flexibility. 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Manager of Data and Machine Learning